86 citations · 89 across the 4 of their papers we have counts for
5 papers · 1 filter
Multi-Layer Dense Attention Decoder for Polyp Segmentation
Krushi Patel, Fengjun Li, Guanghui Wang
Detecting and segmenting polyps is crucial for expediting the diagnosis of colon cancer. This is a challenging task due to the large variations of polyps in color, texture, and lig…
Aggregating Global Features into Local Vision Transformer
Krushi Patel, Andres M. Bur, Fengjun Li +1
Local Transformer-based classification models have recently achieved promising results with relatively low computational costs. However, the effect of aggregating spatial global in…
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
Kaidong Li, Mohammad I. Fathan, Krushi Patel +6
Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effectiv…
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks
Brian McClannahan, Krushi Patel, Usman Sajid +2
The paper proposes to employ deep convolutional neural networks (CNNs) to classify noncoding RNA (ncRNA) sequences. To this end, we first propose an efficient approach to convert t…
A Comparative Study on Polyp Classification using Convolutional Neural Networks
Krushi Patel, Kaidong Li, Ke Tao +4
Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon o…